{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# -*- coding:utf-8 -*-\n",
    "import numpy as np\n",
    "from pandas import Series, DataFrame\n",
    "import pandas as pd\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import datetime\n",
    "import matplotlib.dates as mdates\n",
    "\n",
    "plt.rc('figure',figsize=(9,7))\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "excelfile = pd.ExcelFile('pic.xlsx')\n",
    "# 窃漏电用户的分布情况数据\n",
    "usertype = excelfile.parse('usertype',encoding='utf-8')\n",
    "# 正常用户用电周期性分析\n",
    "data = excelfile.parse('Normal',encoding='utf-8')\n",
    "# 非正常用户用电周期性分析\n",
    "undata = excelfile.parse('Unnormal',encoding='utf-8')\n",
    "\n",
    "usertype.set_index('types', inplace= True )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x9cade80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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PPpm999778e7CoBhQJEkaBXbaaae1hidMGPgrvPPhfZMmTep3GODwww/ngx/8IOeddx47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\nu9QfnAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x9cc06a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "myfont = mpl.font_manager.FontProperties(fname=r'C:\\Windows\\Fonts\\simhei.ttf',size=18)  #微软雅黑字体\n",
    "# 使用plot画图\n",
    "# from matplotlib.font_manager import FontProperties\n",
    "# font = FontProperties(fname=r'C:\\Windos\\Fonts\\simhei.ttf', size=18)\n",
    "fig = plt.figure()\n",
    "usertype.plot(kind='bar')\n",
    "plt.xlabel(u'用户类别',fontsize=12,fontproperties=myfont)\n",
    "plt.ylabel(u'窃漏电用户数',fontsize=12,fontproperties=myfont)\n",
    "plt.title(u'用户类别窃漏电情况',fontsize=16,fontproperties=myfont)\n",
    "plt.xticks(rotation=0) # 将坐标进行旋转\n",
    "plt.legend(loc='upper right',prop=myfont)\n",
    "plt.savefig('usertypes.jpg')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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0DVgNjpkdDYwEHgJOcPfjgG3Ae4AKYE101x3AuB60deDuN7v7HHefU11d3U+v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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa02e978>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "myfont1 = mpl.font_manager.FontProperties(fname=r'C:\\Windows\\Fonts\\simhei.ttf', size = 15)  #微软雅黑字体\n",
    "\n",
    "# 使用面向对象方法画图\n",
    "\n",
    "fig  = plt.figure()\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "ax.set_title(u\"正常用户与窃漏电用电电量趋势对比\", fontsize=18, fontproperties=myfont1)\n",
    "# ax.set(xlabel=u'日期',ylabel=u'日用电量(KW)')\n",
    "ax.set_xlabel(u'日期',fontsize=13, fontproperties=myfont1)\n",
    "ax.set_ylabel(u'日用电量(KW)',fontsize=13, fontproperties=myfont1)\n",
    "\n",
    "ax.xaxis.set_major_locator(mdates.DayLocator(bymonthday=range(1,32), interval=3)) \n",
    "ax.xaxis.set_major_formatter(mdates.DateFormatter(\"%Y-%m-%d\"))\n",
    "plt.subplots_adjust(bottom=0.13,top=0.95)\n",
    "ax.plot(data[u'日期'],data[u'日用电量(KW)'])\n",
    "ax.plot(undata[u'日期'],undata[u'日用电量(KW)'])\n",
    "ax.legend(['normal','unnormal'],loc='best',prop=myfont1)\n",
    "fig.autofmt_xdate() #自动根据标签长度进行旋转\n",
    "\n",
    "'''for label in ax.xaxis.get_ticklabels():   #此语句完成功能同上\n",
    "       label.set_rotation(45)\n",
    "'''\n",
    "\n",
    "plt.savefig('2.jpg')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
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    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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